Combines results of analyses on multiply imputed data sets. A generic
function with methods for imputationResultList objects and a
default method. In addition to point estimates and variances,
MIcombine computes Rubin's degrees-of-freedom estimate and rate
of missing information.
Usage
MIcombine(results, ...)
## Default S3 method:
MIcombine(results,variances,call=sys.call(),df.complete=Inf,...)
## S3 method for class 'imputationResultList'
MIcombine(results,call=NULL,df.complete=Inf,...)
Arguments
results
A list of results from inference on separate imputed datasets
variances
If results is a list of parameter vectors,
variances should be the corresponding variance-covariance
matrices
call
A function call for labelling the results
df.complete
Complete-data degrees of freedom
...
Other arguments, not used
Details
The
results argument in the default method may be either a list of
parameter vectors or a list of objects that have coef and
vcov methods. In the former case a list of variance-covariance
matrices must be supplied as the second argument.
The complete-data degrees of freedom are used when a complete-data
analysis would use a t-distribution rather than a Normal distribution
for confidence intervals, such as some survey applications.
Value
An object of class MIresult with summary and
print methods